<div>Glutamate is the principal excitatory neurotransmitter in the central nervous system. As one of the most abundant neurotransmitters, glutamate plays an essential role in many processes of the central nervous system and beyond. As a result, any disruption that causes an abnormal glutamate level can significantly impact the central nervous system's neurological functions. Glutamate excitotoxicity is a neuropathology that persists in many neurodegenerative disorders such as Parkinson's and Alzheimer's disease as well as in the traumatic brain and spinal cord injuries. Thus, the ability to obtain precise information about the extracellular glutamate level in the living brain and spinal cord tissue may provide new insights into the fundamental understanding of glutamate in neurological disorders and neurophysiological phenomena.</div><div><br></div><div>Conventional bioanalytical techniques that characterize glutamate levels <i>in vivo</i> have a low spatiotemporal resolution that has impeded our understanding of this dynamic event. The electrochemical sensor has emerged as a promising solution that can satisfy the requirement for highly reliable and continuous monitoring methods with an excellent spatiotemporal resolution for the characterization of extracellular glutamate concentration. In this thesis, I present various amperometric biosensors fabricated using a simple direct ink writing technique for<i> ex vivo </i>and <i>in vivo</i> glutamate monitoring.</div><div><br></div><div>The amperometric biosensor is fabricated by immobilizing glutamate oxidase on nanocomposite electrodes made of platinum nanoparticles, multiwalled carbon nanotubes, and a conductive polymer. The biosensors demonstrate good sensitivity and selectivity that can be inserted into a spinal cord and measure extracellular glutamate concentration. Additionally, another type of glutamate biosensor is fabricated from commercially available activated carbon with platinum microparticles. We utilize astrocyte cell culture to demonstrate our biosensor's ability to monitor the glutamate uptake process. We also present a direct measurement of glutamate release from optogenetic stimulation in mouse primary visual cortex brain slides. </div><div><br></div><div>Moreover, we explore a new type of material, perovskite nickelate-Nafion heterostructure, to fabricate biosensors and measure glutamate inside the mouse brain. Finally, by utilizing the nanocomposite ink and direct ink writing technique, we also fabricate the gold-ruthenium non-enzymatic glucose biosensor. We apply a modified Butler-Volmer non-linear model to evaluate the impact of geometrical and chemical design parameters of non-enzymatic biosensor performance. </div><div><br></div>

<div>The manufacturing industry has begun its transition into a digital age, where data-driven decisions aim to improve product quality, output, and efficiency. Decisions made based on manufacturing data can help identify key problem areas in an assembly line and mitigate any defects from progressing through to the next step in the assembly process. But what if the products’ as manufactured data was inaccurate or didn’t exist at all? Decisions based on incorrect data can lead to defective parts being passed as good parts, costing manufacturers millions of dollars in rework or recalls. When specifically referring to mechanically fastened assemblies, products that experience rotation, like an aircraft propeller, or compress to create a seal, like an oil pipe flange, all require specific torque pattern sequences to be followed during assembly. When incorrectly torqued, the parts can have catastrophic failures resulting in consumer injury or ecological contamination. This paper outlines the development and feasibility of a system and its components for tracking and error-proofing the assembly of bolted joints in an industrial environment.</div><div>Using a machine vision system, the system traces the tool location relative to the mechanical fastener and records which order the fasteners were torqued in, if an error is detected, the system does not allow the user to progress through the assembly process, notifying if an error is detected. The system leverages open source machine learning algorithms from TensorFlow2 and OpenCv, that allow efficient object detection model training. The proposed system was tested using a series of tests and evaluated using the STEP method. The data collected aims to understand the system's feasibility and effectiveness in an industrial setting. </div><div>The tests aim to understand the effectiveness of the system under standard and variable industrial work conditions. Using the STEP method and other statistical analysis, an evaluation matrix was completed, ranking the system's ability to successfully meet all predetermined benchmarks and successfully record the torque pattern used to assemble apart</div>

Este trabalho utiliza a Programação Linear Inteira Mista (MILP) para investigar as diferenças de produtividade encontradas em uma Linha de Montagem de Modelo Misto. A abordagem de solução foi através da construção e resolução de modelos matemáticos do problema de balanceamento de linhas de montagem de modelo misto (MALBP – Mixed-Model Assembly Line Balancing Problem), seguido do problema de sequenciamento de carros (PSC – Car Sequencing Problem). Uma simulação discreta foi utilizada para verificar os resultados dos modelos matemáticos. O estudo relata o caso real de uma linha de montagem da indústria automotiva das partes móveis das carrocerias de três diferentes veículos compartilhando a mesma linha de produção. A linha de produção é caracterizada como baixa cadência (de até 15 veículos/hora) e totalmente manual. A linha é constituída por mesas de rolos em série onde o acionamento é do tipo de passo não sincronizado. O objetivo é investigar como manter o melhor nível de produtividade da linha de produção e, ao mesmo tempo, manter a característica de flexibilidade para atender a uma demanda variável em volume e diversidade de produto. São apresentados resultados desse trabalho que indicam que é possível a obtenção de alguns balanceamentos flexíveis para alguns mixes de produtos, o que permite manter a diferença nos tempos de produção no limite de 6%, para esta correta combinação de balanceamento-sequenciamento. No entanto, verificando as demais combinações possíveis para os seis mixes de produtos avaliados, o tempo de produção apresentou diferenças de até 19%, dependendo da sequência de entrada dos produtos para um certo mix. Outro fator que também ocasionou diferenças dos tempos produtivos, de 20% em média, foi em relação a alocação/ausência de postos pulmões (buffers). O horizonte da análise, a priori, foi de um lote de produção de uma hora para o modelo matemático e de uma semana de produção para o modelo de simulação discreta. Os resultados obtidos no estudo indicam que é possível operar uma linha de montagem flexível com uma produtividade equiparável a linhas de montagem de único modelo, se cuidados relativos ao balanceamento e sequenciamento produtivos forem observados. Por outro lado, se as condições operacionais de balanceamento e sequenciamento para as linhas de montagem de modelos/produtos mistos não forem consideradas, as perdas acumuladas na taxa de produção podem ser significativas (por exemplo, tempos de produção para algumas condições de teste ultrapassaram em 30% o valor teórico estimado). / This work uses Mixed Integer Linear Programming (MILP) to investigate productivity differences found in a Mixed-Model Assembly Line. The solution approach was based on construction and resolution of mathematical models for the Mixed-Model Assembly Line Balancing Problem (MALBP), followed by the Car Sequencing Problem (CSP). A discrete simulation was used to check the results obtained by the mathematical models. The study reports the real case of an automotive metal line that assemblies the closures of three different vehicles, sharing the same production line. The production line is characterized as low cadence (e.g., up to 15 vehicles/hour) and fully manual. The line is formed by roller tables in series with unpaced devices. The main objective is to investigate how to maintain productivity, while maintaining the flexibility characteristic to meet a variable demand in volume and product diversity. Results of this study are presented and indicate that some flexible balancing mixes are viable. Production time differences of no more than 6% were observed in such flexible choices. However, the checking of some possible combinations for the six mixes of evaluated products showed a production time difference up to 19%, depending on the sequence of products for a certain mix. Another factor that also influenced production time differences, 20% on average, was the allocation of buffers. The horizon of analysis encompasses a lot of production of one hour, to the mathematical model, and a week for discrete simulation. The obtained results indicate that it is possible to operate a flexible assembly line with a level of productivity similar to a single product line, in case of careful choices in balancing/sequencing. On the other hand, if the operating conditions of balancing and sequencing were not taken into account the cumulative loss in throughput may be significant (e.g., for some studied cases, production time exceed 30% the theoretical value).

<p>The miniaturization and thinning of wearable, soft robotics and medical devices are soon to require higher performance modeling as the physical flexibility causes direct impacts on the electrical characteristics of the circuit – changing its behavior. As a representative flexible electronic component, the organic field effect transistor (OFET) has attracted much attention in its manufacturing as well as applications. However, as the strain and stress effects are integrated into multiphysics modelers with deeper interactions, the computational complexity and accuracy of OFET modeling is resurfacing as a limiting bottleneck.</p><p>The dissertation was organized into three interrelated studies. In the first study, the Mass-Spring-Damper (MSD) model for an inverted staggered thin film transistor (TFT) was proposed to investigate the TFT’s internal stress/strain fields, and the strain effects on the overall characteristics of the TFT. A comparison study with the finite element analysis (FEA) model shows that the MSD model can reduce memory usage and raises the computational convergence speed for rendering the same results as the FEA. The second study developed the generalized solid-state model by incorporating the density of trap states in the band structure of organic semiconductors (OSCs). The introduction of trap states allows the generalized solid-state model to describe the electrical characteristics of both inorganic TFTs and organic field-effect transistors (OFETs). It is revealed through experimental verification that the generalized solid-state model can accurately characterize the bending induced electrical properties of an OFET in the linear and saturation regimes. The third study aims to model the transient and steady-state dynamics of an arbitrary organic semiconductor device under mechanical strain. In this study, the fractional drift-diffusion (Fr-DD) model and its computational scheme with high accuracy and high convergence rate were proposed. Based on simulation and experimental validation, the transconductance and output characteristics of a bendable OFET were found to be well determined by the Fr-DD model not only in the linear and saturation regimes, but also in the subthreshold regime.</p>

<p>The purpose of this research experiment was to explore and implement a cost-effective automation solution into a low volume production line for loading parts onto a coordinate measuring machine (CMM) for dimensional inspection. Quality control practices have historically been separated from production process by inspection routines being performed in a controlled lab. The system demonstrated the possibilities of an in-process automation of the quality control process that was feasible to be implemented for small and mid-sized manufacturing companies. The process involved an APSX horizontal injection mold machine dispensing parts onto the conveyor belt. The conveyor belt was controlled by a Phoenix Contact PLC and two line sensors that provided two stopping point for cooldown before inspection. A MyCobot 320-M5 robotic arm was used to select the part off the line and places it into a fixture on a Hexagon coordinate measuring machine (CMM).</p>

<p>  </p> <p>Printed electronics (PE) is one of the fastest growing technologies in the 21^st century. Recent reports have shown that PE market will reach 4.9 billion by 2032. PE refers to additive deposition of materials to fabricate electrical circuits, interconnects, and devices. </p> <p>The quest for developing nondestructive processes that enables additive manufacturing of low-cost PEs on heat-sensitive substrates with novel functionalities has resulted in several recent developments in the field which includes investigation of selective and optical sintering processes such as photonic sintering and laser sintering, to name a few. Broadly, this dissertation is an effort to study these sintering technologies for additive manufacturing of bimodal (metal/metal, metal/inorganic, and metal/organic) printed material compositions.  </p> <p>In the first section, nondestructive sintering technologies is combined with chemical sintering to develop bimodal metallic conductive pastes for the fabrication of biodegradable and non-biodegradable printed devices for applications in food packaging and wireless smart drug delivery.</p> <p>Next, a process is developed via near-infrared (NIR) technology to enable soldering and mounting electrical components onto printed materials using low-temperature bimodal metal/organic solder pastes. The developed optimized process is used to fabricate a flexible printed hybrid device for remote assessment of the wound exudate absorption in dressings.</p> <p>Lastly, laser processing is used to fabricate an antibacterial bimodal silver containing glass ceramics coating directly on temperature-sensitive polymeric surgical meshes. The integrated bioceramic coating on the mesh exhibits long-lasting antibacterial properties against Gram-positive and Gram-negative strains of bacteria. </p> <p>The results of this dissertation will open a new route of research to fabricate low-cost devices with bimodal materials with applications in medical device, healthcare, and packaging industries. </p> <p><br></p>

<p>Micro- and nanoparticles (MNP) attract much attention owing to their unique properties, structural tunability, and wide range of practical applications. To deposit these important materials on surfaces for generating functional coatings, a variety of special delivery systems and coating/printing techniques have been explored. Herein, spray coating technique is a promising candidate to advance the field of nanotechnology due to its low-cost, high-deposition rate, manufacturing flexibility, and compatibility with roll-to-roll processing. Despite great advances, direct scalable spray writing of functional materials at high-spatial resolution through fine patterning without a need of vacuum and mask equipment still remains challenging. Addressing these limitations requires the development of efficient spray deposition techniques and novel manufacturing approaches to effectively fabricate functional coatings. To this end, this dissertation employs three different spray coating methods of (1) cold spray; (2) atomization-assisted supersonic spray, and (3) dual velocity regime spray to address the aforementioned limitations. A comprehensive set of coating materials, design principles, and operational settings for each spray system are tailored for rapid, direct, and sustainable deposition of MNP on various substrates. Besides, through the two-phase flow modeling, droplets dispersion and deposition characteristics were investigated under both subsonic and supersonic flow conditions to uncover the process-structure-property relationships of the established spray systems. Moreover, novel spray-based manufacturing approaches are developed to fabricate functional coatings in various applications, including (i) functional polymer metallization, (ii) printed flexible electronics, (iii) advanced thin-film nanocoating, (iv) laser direct writing, and (v) electronic textiles.</p>

Von Beginn der flexiblen Automatisierung mit numerisch gesteuerten Werkzeugmaschinen und der zugehörigen Programmier-Software bis zum gegenwärtigen Entwicklungsstand (Industrie 4.0) wird die historische Entwicklung von 1960 bis 2020 aus der Position eines aktiven Mitgestalters dargestellt. Interessanterweise vollzogen sich die wesentlichen Entwicklungsetappen für die ersten dreißig Jahre parallel in beiden deutschen Staaten. Aus den Lehren des Zweiten Weltkrieges wurden im Rahmen der UNESCO zum friedlichen Informationsaustausch geeignete wissenschaftliche Organisationen gegründet: • IFIP (Internationale Föderation für Informationsprozesse, speziell Arbeitsgrupp CAM • CIRP (Internationale Akademie der Fertigungstechniker) Mit der Berufung und aktiven Mitarbeit in diesen Organisationen war eine Plattform für die deutsch-deutsche und darüber hinaus internationale Kooperation gegeben. Ein besonderer Schwerpunkt für den geordneten Informationsaustausch im Rahmen der gesamten dynamischen Entwicklung im Gebiet der Produktionsautomatisierung war dabei die im 3-Jahres-Rhythmus durchgeführte Konferenzserie PROLAMAT (Programming Languages for Machine Tools), gestartet 1969 in Rom. Im weiteren Verlauf wurde dieser Begriff viel breiter für das gesamte Gebiet der automatisierten Informationsverarbeitung und Fertigung erweitert. Ein besonderer Höhepunkt war dabei die erfolgreichste PROLAMAT-Konferenz 1988 in Dresden. Parallel dazu erfolgten an der TU Dresden Entwicklungen in Richtung CAD/CAM-Labor und später CIM-TT (CIM-Technologietransferzentrum). Damit war an der TU Dresden 1989/90 ein Entwicklungsstand gegeben, der unmittelbar zu gemeinsamen deutsch-deutschen und internationalen EU-Projekten genutzt werden konnte. Dieses hohe Entwicklungsniveau wurde zur offiziellen Eröffnung des CIM-TT-Zentrums in den Eröffnungsreferaten durch den damaligen Wissenschaftsminister Dr. Riesenhuber und Ministerpräsident Prof. Biedenkopf gewürdigt. Durch die zum gleichen Zeitpunkt verfügte veränderte Nutzung des für das CIM-TT im Aufbau befindliche Gebäude durch die neugegründete Juristische Fakultät wurde der erfolgreich vorbereitete Weg verhindert. Unabhängig davon blieb meine fachliche Orientierung mit den gravierenden Weiterentwicklungen eng verbunden. Dazu trug das Sabbatical-Jahr in Norwegen und den USA 1992 maßgeblich bei. Mit dem Forschungsaufenthalt war die Entscheidungsvorbereitung für die vorgesehene Groß-Investition für das neueste generative Verfahren verbunden. Gleichzeitig mit dem fundierten Nachweis der bestgeeigneten sog. Rapid-Prototyping-Anlage vom deutschen Anbieter EOS München war die TU Dresden auf diesem neuen High-Tech-Gebiet 1992 in einer anerkannten Spitzenposition. Mit meiner Publikation eines der ersten Fachbücher im Gebiet Advanced Prototyping (jetzt Additiv Manufacturing) war darüber hinaus eine gute Basis für weitere innovative Aktivitäten gegeben Dazu gehört die Gründung einer High-Tech-Firma (SFM - Schnelle Fertigung von Modellen) mit bemerkenswerten beispielgebenden Ergebnissen. Hervorgehoben soll die zwanzigjährige aktive Kooperation mit der Universität Stellenbosch (RSA - Republik Südafrika), die unter anderem mit meiner Berufung zum Extraordinary Professor im Jahr 2003 verbunden ist. Mit der Eröffnung eines Technologie-Zentrums nach dem Vorbild des ursprünglichen CIM TT -Zentrums der TU Dresden konnte für Südafrika ein wertvoller Beitrag geleistet werden. Das gesamte Lebenswerk ist gekennzeichnet durch die Entwicklungsschritte von der Mathematisierung über die Algorithmierung bis hin zur Programmierung vielfältiger technologischer Sachverhalte. Die Ergebnisse sind in einer Anzahl von persönlichen Fachbüchern (z.T. übersetzt in das Russische und Ungarische) wie auch Konferenzberichten und mehr als 200 Veröffentlichungen (deutsch und englisch) dokumentiert.

<p>The last two decades have shown a boom in the field of wearable sensing technology. Particularly in the consumer industry, growing trends towards personalized health have pushed new devices to report many vital signs, with a demand for high accuracy and reliability. The most common technique used to gather these vitals is photoplethysmography or PPG. PPG devices are ideal for wearable applications as they are simple, power-efficient, and can be implemented on almost any area of the body. Traditionally PPGs were utilized for capturing just heart rate, however, recent advancements in hardware and digital processing have led to other metrics including respiratory rate (RR) and peripheral oxygen saturation (SpO2), to be reported as well. Our research investigates the potential for wearable devices to be used for outpatient apnea monitoring, and particularly the ability to detect opioid misuse resulting in respiratory depression. Ultimately, the long-term goal of this work is to develop a wearable device that can be used in the rehabilitation process to ensure both accountability and safety of the wearer. This document details contributions towards this goal through the design, development, and evaluation of a device called “Kick Ring”. Primarily, we investigate the ability of Kick Ring to record heartrate (HR), RR, and SpO2. Moreover, we show that the device can calculate RR in real time and can provide an immediate indication of abnormal events such as respiratory depression. Finally, we explore a novel method for reporting apnea events through the use of several PPG characteristics. Kick Ring reliably gathers respiratory metrics and offers a combination of features that does not exist in the current wearables space. These advancements will help to move the field forward, and eventually aid in early detection of life-threatening events.</p>

<p>A thesis study investigating the development and evaluation of a computer vision (CV) system for a manufacturing assembly task is reported. The CV inference results are compared to a Manufacturing Process Plan and an automation method completes a buyoff in the software, Solumina. Research questions were created and three hypotheses were tested. A literature review was conducted recognizing little consensus of Industry 4.0 technology adoption in manufacturing industries. Furthermore, the literature review uncovered the need for additional research within the topic of CV. Specifically, literature points towards more research regarding the cognitive capabilities of CV in manufacturing. A CV system was developed and evaluated to test for 90% or greater confidence in part detection. A CV dataset was developed and the system was trained and validated with it. Dataset contextualization was leveraged and evaluated, as per literature. A CV system was trained from custom datasets, containing six classes of part. The pre-contextualization dataset and post-contextualization dataset was compared by a Two-Sample T-Test and statistical significance was noted for three classes. A python script was developed to compare as-assembled locations with as-defined positions of components, per the Manufacturing Process Plan. A comparison of yields test for CV-based True Positives (TPs) and human-based TPs was conducted with the system operating at a 2σ level. An automation method utilizing Microsoft Power Automate was developed to complete the cognitive functionality of the CV system testing, by completing a buyoff in the software, Solumina, if CV-based TPs were equal to or greater than human-based TPs.</p>